GCPSO in cooperation with graph theory to distribution network reconfiguration for energy saving

被引：29

作者：

Assadian, Mehdi ^{[1
]}

Farsangi, Malihe M. ^{[1
]}

Nezamabadi-pour, Hossein ^{[1
]}

机构：

[1] Shahid Bahonar Univ, Dept Elect Engn, Kerman, Iran

来源：

ENERGY CONVERSION AND MANAGEMENT | 2010年 / 51卷 / 03期

关键词：

Guaranteed convergence particle swarm optimization; Particle swarm optimization; Genetic algorithm; Distribution systems; Reconfiguration; Loss reduction; Graph theory; DISTRIBUTION-SYSTEMS; LOSS REDUCTION; ALGORITHM; ALLOCATION;

D O I：

10.1016/j.enconman.2009.10.003

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Network reconfiguration for loss reduction in distribution system is an important way to save energy. This paper investigates the ability of guaranteed convergence particle swarm optimization (GCPSO) and particle swarm optimization (PSO) in cooperation with graph theory for network reconfiguration to reduce the power loss and enhancement of voltage profile of distribution systems. Numerical results of three distribution systems are presented which illustrate the feasibility of the proposed method by GCPSO and PSO using the graph theory. To validate the obtained results, genetic algorithm (GA) using graph theory is also applied and is compared with the proposed GCPSO and PSO using graph theory. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：418 / 427

页数：10

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